Search results

Drawing upon the extended resource-based view (ERBV), this research aims to examine the effects of supply chain diversification (SCD) on enterprise digital transformation (DT), focusing on the external perspective of the supply chain.

Leveraging panel data from Chinese A-share listed companies from 2015 to 2022, this research employs multiple regression analysis to empirically examine the relationship between SCD and enterprise DT.

The results of analysis indicate that: (1) SCD positively influences enterprise DT, a relationship that persists even after rigorous endogenous and serial robustness testing. (2) SCD fosters enterprise DT by bolstering its absorption, innovation, and adaptive capabilities. (3) Executive risk preferences and Pilot Policies positively mediate the effects of SCD on enterprise DT.

This research provides novel empirical insights into the underlying mechanism linking SCD and enterprise DT. The findings offer valuable guidance for enterprises seeking to optimize supply chain management and embrace DT, while also informing policymakers on strategies to facilitate SCD and DT enhancement among enterprises.

This study aims to explore school health promotion (HP) as a set of institutionally embedded professional practices.

This is a qualitative study using data from nineteen interviews with school professionals in Sweden. Data analysis was informed by practice theory and an institutional logic perspective.

School professionals constructed practical understandings of HP at the intersection between institutional directives and professional values. Professionals were challenged by multiple and occasionally ambiguous policy directives as well as by multiple tiers of governance. Professional understandings of institutional directives were mediated by a bureaucratic logic and three instantiations of a professional logic (competence, pragmatic and entrepreneurial). School leadership was perceived as a crucial link between institutional directives and professional practices.

The findings draw attention to the need for policy revision and disambiguation as well as the need for establishing dynamic institutional dialogues across levels of governance. These measures can foster sage leadership and fruitful interprofessional collaboration within school HP.

The findings provide a multi-perspective view of school HP and link professional values to institutional ones. The study sheds light on the explanatory relevance of human cognition in practice contexts.

This study investigates the extent to which a firm’s centrality and autonomy in its supply network are associated with the intensity and complexity of its competitive actions.

Utilizing social network analysis and dynamic panel data models, this study analyzes a comprehensive panel dataset with 10,802 firm-year observations across various industries between 2011 and 2018 to test the hypotheses.

Our findings show that a firm’s level of centrality in its supply network has an inverted U-shaped relationship with both competitive intensity and competitive complexity. In addition, the turning points of these two inverted U-shaped relationships differ in that firms with a lower level of centrality tend to compete aggressively by launching more actions within fewer categories, while firms with a higher level of centrality tend to compete aggressively by launching fewer actions that cover a larger range of categories. Finally, we find that a firm’s structural autonomy has a positive relationship with competitive complexity.

This study bridges the gap between the supply chain management literature and strategic management literature and investigates how supply networks shape competitive aggressiveness. In particular, this research investigates how a firm’s structural position in its supply network affects its competitive actions, an important intermediate mechanism for competitive advantage that has been overlooked in the supply chain management literature.

As an emerging video comment feature, danmaku is gaining more traction and increasing user interaction, thereby altering user engagement. However, existing research seldom explores how the effectiveness of danmaku on user engagement varies over time. To address this research gap, this study proposes a comprehensive framework drawing on social presence theory and information overload theory. The framework aims to explain how the effectiveness of danmaku in increasing user engagement changes over shorter time intervals.

A research model was proposed and empirically tested using data collected from 1,019 movies via Bilibili.com, one of China’s most popular danmaku video platforms. A time-varying effect model (TVEM) was used to examine the proposed research model.

The study finds that the volume of danmaku and its valence exert a time-varying influence on user engagement. Notably, the study shows that danmaku volume plays a more substantial role in determining user engagement than danmaku valence.

This research offers theoretical insights into the dynamic impact of danmaku on user engagement. The innovative conceptualization and measurement of user engagement advance research on pseudo-synchronous communication engagement. Furthermore, this study offers practical guidelines for effectively managing danmaku comments on online video platforms.

This study constructed an information search process model based on costs and benefits to reflect different information search processes under different decisions from a behavioural economics perspective.

This study used a deductive approach to conceptualise the costs, benefits, and uncertainties of the information search process. Subsequently, we constructed an information search process model based on the costs and benefits using graphical reasoning, loss aversion theory, bounded rationality theory, the satisficing theory of behavioural economics, and the uncertainty changes of information search process.

The model revealed four types of user behaviours in the information search process: (1) avoiding search at the initiation of the search process; (2) exiting in the middle of a search; (3) stopping at the point of satisficing; and (4) continuing the search until experiencing physical discomfort.

The model constructed in this study treats the information search as a process based on costs and benefits with uncertainty. This model integrates information search avoidance and stopping into an information search process model. The model identifies users’ bounded rationality by evaluating ideal and real situations. Moreover, the model explains relative and absolute information overloads and the area beyond the user’s bounded rationality. These findings could help improve users’ information literacy and optimise information systems.

In the digital era individuals are overwhelmed by huge amount of readily available information. The information provided at the time of COVID-19 crisis is increasingly available. The purpose of this paper was to investigate individuals’ perceived feelings due to the plethora of information during COVID-19 pandemic in Greece in Spring 2020.

This study was conducted through a Web-based questionnaire survey posted on the Google Forms platform. The questionnaire consisted of closed-ended, seven-point Likert-scale questions. The data collected were subjected to a principal component analysis. The retained principal components (PCs) were subjected to statistical analysis between genders and among age groups and professional status with the nonparametric criteria Mann–Whitney U and Kruskal–Wallis.

Responses by 776 individuals were obtained. Seventeen original variables from the questionnaire were summarized into three PCs that explained the 71.7% of total variance: “affective disorders,” “uncertainty issues and inaccurate information worries” and “satisfaction and optimism.” Participants partly agree that the received amount of information on the disease caused them feelings of uncertainty about the future and worries about relatives’ lives, but also satisfaction with developments in the country. Females seem to experience stronger perceived feelings of “affective disorders” (p < 0.001) and reported higher degree of agreement about “uncertainty issues and inaccurate information worries.”

The recorded feelings caused by the volume of available information may have forced people accept the necessary precautionary behavioral changes that had contributed to the Greek success in preventing spread of the disease in Spring 2020.

Under the trend of global economic integration and the new context of stagflation, frequent fluctuations in international interest rates are exerting far-reaching impacts on the world economy. In this paper, the transmission mechanism of the impact of fluctuations in international interest rates (specifically, the American interest rate) on the bankruptcy risk in China's pillar industry, the construction industry (which is also sensitive to interest rates), is examined.

Using an improved contingent claims analysis, the bankruptcy risk of enterprises is calculated in this paper. Additionally, an individual fixed-effects model is developed to investigate the mediating effects of international interest rates on the bankruptcy risk in the Chinese construction industry. The heterogeneity of subindustries in the industrial chain and the impact of China's energy consumption structure are also analysed in this paper.

The findings show that fluctuations in international interest rates, which affect the bankruptcy risk of China's construction industry, are mainly transmitted through two major pathways, namely, commodity price effects and exchange rate effects. In addition, the authors examine the important impact of China's energy consumption structure on risk transmission and assess the transmission and sharing of risks within the industrial chain.

First, in the research field, the study of international interest rate risk is extended to domestic-oriented industries. Second, in terms of the research content, this paper is focused on China-specific issues, including the significant influence of China's energy consumption structure characteristics and the risk contagion (and risk sharing) as determined by the current development of the Chinese construction industry. Third, in terms of research methods a modified contingent claim analysis approach to bankruptcy risk indicators is adopted for this study, thus overcoming the problems of data frequency, market sentiment and financial data fraud, which are issues that are ignored by most relevant studies.

The purpose of this paper spans twofold. Firstly, to investigate Human Resource Management practices (HRMP) adopted by organisations during the pandemic. Secondly, to bundle similar HRMP into Human Resource Management (HRM) bundles that provided unhindered organisational support to employees during the crisis.

The authors conducted 39 in-depth interviews across industries using a semi-structured interview schedule. Thereafter, the authors transcribed the interviews verbatim and analysed them thematically using MAXQDA 2021.

The study identifies effective practices during times of uncertainty and how soft HRM practices helped organisations survive during a crisis. When bundled together, these practices enabled organisations to continue operations during the pandemic, keeping their employees engaged and motivated.

Based on the learnings from the COVID-19 pandemic, the study provides a toolkit of HRMP bundles that organisations can adopt for future crisis management, enhancing the organisations’ absorptive capacity.

The study investigates the practices incorporated during COVID-19, leading to the identification of soft HRM bundles. The study adds value to the existing domain of HRM by including a unique set of soft HRMP bundles that have not been discussed in earlier studies and could be of high utility to organisations during the crisis.

This study aims to investigate whether social media use (SMU) at work has a curvilinear effect on job performance and whether Cyberloafing (non-work-related use) and job complexity moderate this effect.

Online surveys were conducted in China among WeChat users from multiple organizations working in the office environment, generating 350 valid responses.

The results revealed that there is an inverted U-shaped relationship between SMU at work and job performance through mediations of communication, information sharing and entertainment; such that the relationship is initially positive but becomes weaker as SMU increases and exceeds the optimal level. Notably, it is found that Cyberloafing negatively moderates the relationship between SMU and job performance, and there is a significant joint moderating effect of job complexity and Cyberloafing.

This study improves the research of information system use. It also provides implications for organizations concerned about formulating policies related to individuals' SMU and suggests that SM users and managers should find strategies to arrive at without surpassing the optimal level to maximize productivity.

This paper enriches the job demands-resources model to extend the literature on the advantages and disadvantages of SMU at work, which indirectly affect performance through two job conditions (job resources and demands). The study finds that employees benefit from a moderate amount of SMU at work, once it surpasses the optimal level, job demands surpass job resources and counterproductivity will appear. In addition, Cyberloafing and job complexity moderate the optimal level of SMU at work, which have not yet been investigated.

Information opacity in donation crowdfunding activities has constrained the healthy development of China’s public welfare activities. Addressing the trust crisis and enhancing public engagement warrants further investigation. This study aims to uncover the moderating effect of activity transparency by utilizing data from 1,029 donation crowdfunding projects on the Sina Weibo Public Welfare Social Platform. In this way, we seek to elucidate the impact of donation crowdfunding events on fundraising ability.

This study selects text complexity, number of supporters, creator experience, and social capital as explanatory variables; innovatively selects the number of updates of online crowdfunding activities and total reading volume as moderating variables; selects the number of shares of crowdfunding activities as a mediating variable; and constructs a moderated mediation multiple regression model for fundraising ability.

Our findings indicate that independent variables, such as text complexity, number of supporters, and social capital, can significantly affect the dependent variable, fundraising ability. However, creator experience does not influence fundraising ability. Furthermore, social interaction has a mediating effect, whereas activity transparency has a reverse moderating effect. These results indicate that social interaction can enhance the fundraising ability of donation crowdfunding events. However, with an increase in information transparency, the fundraising ability of social media decreases.

The originality of this research is in clarifying the internal factors affecting fundraising ability through induction, making bold assumptions, and focusing on how social media’s effective interaction and activity transparency will affect public welfare crowdfunding fundraising ability.